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07/25/2023
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
Obtaining labelled data in medical image segmentation is challenging due...
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05/28/2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Neural networks are notorious for being overconfident predictors, posing...
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11/02/2022
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
Prior knowledge about the imaging physics provides a mechanistic forward...
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10/02/2022
Ensembling improves stability and power of feature selection for deep learning models
With the growing adoption of deep learning models in different real-worl...
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05/10/2022
Improving genetic risk prediction across diverse population by disentangling ancestry representations
Risk prediction models using genetic data have seen increasing traction ...
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03/17/2021
Semi-Supervised Learning for Eye Image Segmentation
Recent advances in appearance-based models have shown improved eye track...
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02/25/2020
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
Several scalable methods to compute the Kullback Leibler (KL) divergence...
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10/31/2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
While deep representation learning has become increasingly capable of se...
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08/04/2018
